Dfir
transilienceai/communitytools
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation.
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .claude/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .claude/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .agents/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .agents/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .cursor/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .cursor/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-mft-for-deleted-file-recovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .gemini/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .gemini/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .github/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .github/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .opencode/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-mft-for-deleted-file-recovery" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-mft-for-deleted-file-recovery into .opencode/skills/analyzing-mft-for-deleted-file-recovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-mft-for-deleted-file-recovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
analyzing-mft-for-deleted-file-recoveryGuides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
The NTFS Master File Table holds at least one 1024-byte record per file and directory. Deleting a file only clears the record's InUse flag, so the metadata stays until the entry is reused, which is what makes it useful as evidence. The skill explains the record header layout, with its FILE signature, offsets and flags, and the key attributes such as $STANDARD_INFORMATION, $FILE_NAME, $OBJECT_ID and $SECURITY_DESCRIPTOR.
Analysis uses MFTECmd, analyzeMFT and X-Ways Forensics, and extends to $LogFile, $UsnJrnl and MFT slack space. Prerequisites listed are a forensic disk image in E01, raw/dd, VMDK or VHDX format, an image mounter such as FTK Imager or Arsenal Image Mounter, Timeline Explorer or Excel for CSV output, and Python 3.8 or later for custom scripts. The folder bundles `agent.py` and `process.py`, reference notes on workflows and standards, and a report template.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
deaddisk.comsygnia.coericzimmerman.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
NTFS MFT Deleted File Recovery loads about 2.7k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 599 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 599 words, ~2,659 tokens.
.claude/skills/analyzing-mft-for-deleted-file-recovery/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.The NTFS Master File Table ($MFT) is the central metadata repository for every file and directory on an NTFS volume. Each file is represented by at least one 1024-byte MFT record containing attributes such as $STANDARD_INFORMATION (timestamps, permissions), $FILE_NAME (name, parent directory, timestamps), and $DATA (file content or cluster run pointers). When a file is deleted, its MFT record is marked as inactive (InUse flag cleared) but the metadata remains until the entry is reallocated by a new file. This persistence makes MFT analysis a primary technique for recovering deleted file evidence, reconstructing file system timelines, and detecting anti-forensic activity such as timestomping.
Each MFT record begins with the signature "FILE" (0x46494C45) and contains:
| Offset | Size | Field |
|---|---|---|
| 0x00 | 4 bytes | Signature ("FILE") |
| 0x04 | 2 bytes | Offset to update sequence |
| 0x06 | 2 bytes | Size of update sequence |
| 0x08 | 8 bytes | $LogFile sequence number |
| 0x10 | 2 bytes | Sequence number |
| 0x12 | 2 bytes | Hard link count |
| 0x14 | 2 bytes | Offset to first attribute |
| 0x16 | 2 bytes | Flags (0x01 = InUse, 0x02 = Directory) |
| 0x18 | 4 bytes | Used size of MFT record |
| 0x1C | 4 bytes | Allocated size of MFT record |
| 0x20 | 8 bytes | Base file record reference |
| 0x28 | 2 bytes | Next attribute ID |
| Type ID | Name | Description |
|---|---|---|
| 0x10 | $STANDARD_INFORMATION | Timestamps, flags, owner ID, security ID |
| 0x30 | $FILE_NAME | Filename, parent MFT reference, timestamps |
| 0x40 | $OBJECT_ID | Unique GUID for the file |
| 0x50 | $SECURITY_DESCRIPTOR | ACL permissions |
| 0x60 | $VOLUME_NAME | Volume label (volume metadata files only) |
| 0x80 | $DATA | File content (resident if <700 bytes) or cluster run list |
| 0x90 | $INDEX_ROOT | B-tree index root for directories |
| 0xA0 | $INDEX_ALLOCATION | B-tree index entries for large directories |
| 0xB0 | $BITMAP | Allocation bitmap for index or MFT |
# Extract $MFT from forensic image using KAPE or FTK Imager
# Parse the $MFT with MFTECmd
MFTECmd.exe -f "C:\Evidence\$MFT" --csv C:\Output --csvf mft_full.csv
# Filter for deleted files (InUse = FALSE) in Timeline Explorer
# Look for entries where InUse column is FalseIdentifying Deleted Files in CSV Output:
InUse = False indicates a deleted or reallocated recordParentPath shows original file location before deletionFileSize shows the original size (may still be recoverable)$STANDARD_INFORMATION and $FILE_NAME attributes persistThe USN Journal records all changes to files on an NTFS volume, including creation, deletion, rename, and data modification events.
# Parse USN Journal with MFTECmd
MFTECmd.exe -f "C:\Evidence\$J" --csv C:\Output --csvf usn_journal.csv
# Key USN reason codes for deletion evidence:
# USN_REASON_FILE_DELETE = 0x00000200
# USN_REASON_CLOSE = 0x80000000
# USN_REASON_RENAME_OLD_NAME = 0x00001000
# USN_REASON_RENAME_NEW_NAME = 0x00002000The $LogFile stores NTFS transaction records that can reveal file operations even after the USN Journal has been cycled.
# Parse $LogFile with LogFileParser
LogFileParser.exe -l "C:\Evidence\$LogFile" -o C:\Output
# Look for REDO and UNDO operations indicating file deletion:
# - DeallocateFileRecordSegment
# - DeleteAttribute
# - UpdateResidentValue (clearing InUse flag)MFT slack space exists between the end of the used portion of an MFT record and the end of the allocated 1024 bytes. This area may contain remnants of previous file records.
import struct
def parse_mft_slack(mft_path: str, output_path: str):
"""Extract and analyze MFT slack space for deleted file remnants."""
with open(mft_path, "rb") as f:
record_size = 1024
record_num = 0
slack_findings = []
while True:
record = f.read(record_size)
if len(record) < record_size:
break
# Verify FILE signature
if record[:4] != b"FILE":
record_num += 1
continue
# Get used size from offset 0x18
used_size = struct.unpack("<I", record[0x18:0x1C])[0]
if used_size < record_size:
slack = record[used_size:]
# Check if slack contains readable strings or attribute headers
if any(c > 0x20 and c < 0x7F for c in slack[:50]):
slack_findings.append({
"record": record_num,
"used_size": used_size,
"slack_size": record_size - used_size,
"slack_preview": slack[:100].hex()
})
record_num += 1
return slack_findings# Parse Recycle Bin with RBCmd
RBCmd.exe -d "C:\Evidence\$Recycle.Bin" --csv C:\Output --csvf recycle_bin.csv
# Correlate: $I files contain original path and deletion timestamp
# Match MFT entry numbers from $R files back to original MFT records# List volume shadow copies
vssadmin list shadows
# Mount shadow copies and extract $MFT from each
# Compare MFT records across shadow copies to track file changes over time$ MFTECmd.exe -f "C:\Evidence\$MFT" --csv /analysis/mft_output
MFTECmd v1.2.2 - MFT Parser
==============================
Input: C:\Evidence\$MFT (Size: 384 MB)
Total MFT Entries: 395,264
Parsing MFT entries... Done (12.4 seconds)
--- Deleted File Recovery Summary ---
Total Entries: 395,264
Active Files: 245,832
Deleted Files: 149,432
Recoverable: 87,234 (resident data or clusters not reallocated)
Partially Recoverable: 31,456 (some clusters overwritten)
Unrecoverable: 30,742 (all clusters reallocated)
--- Recently Deleted Files (Incident Window: 2024-01-15 to 2024-01-18) ---
MFT Entry | Filename | Path | Size | Deleted (UTC) | Recoverable
----------|-----------------------------------|------------------------------------|-----------|-----------------------|------------
148923 | exfil_tool.exe | C:\ProgramData\Updates\ | 1,258,496 | 2024-01-17 02:45:12 | YES
148924 | exfil_tool.log | C:\ProgramData\Updates\ | 45,312 | 2024-01-17 02:45:14 | YES
149001 | passwords.txt | C:\Users\jsmith\Desktop\ | 2,048 | 2024-01-17 02:50:33 | YES
149150 | scan_results.csv | C:\Users\jsmith\AppData\Local\Temp | 892,416 | 2024-01-17 03:00:01 | PARTIAL
149200 | mimikatz.exe | C:\Windows\Temp\ | 1,250,816 | 2024-01-18 01:15:22 | YES
149201 | sekurlsa.log | C:\Windows\Temp\ | 32,768 | 2024-01-18 01:15:25 | YES
149302 | .bash_history | C:\Users\jsmith\ | 4,096 | 2024-01-18 03:00:00 | NO
149400 | ClearEventLogs.ps1 | C:\Windows\Temp\ | 1,536 | 2024-01-18 03:01:12 | YES
--- $STANDARD_INFORMATION vs $FILE_NAME Timestamp Analysis (Timestomping Detection) ---
MFT Entry | Filename | $SI Created | $FN Created | Delta | Verdict
----------|---------------------|----------------------|----------------------|-----------|----------
148923 | exfil_tool.exe | 2023-06-15 10:00:00 | 2024-01-15 14:34:02 | -214 days | TIMESTOMPED
149200 | mimikatz.exe | 2022-01-01 00:00:00 | 2024-01-16 02:30:15 | -745 days | TIMESTOMPED
Recovered files exported to: /analysis/mft_output/recovered/
Full CSV report: /analysis/mft_output/mft_analysis.csv (395,264 rows)
Timeline CSV: /analysis/mft_output/mft_timeline.csv© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references, assets) in skills/analyzing-mft-for-deleted-file-recovery of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
NTFS MFT Deleted File Recovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| NTFS MFT Deleted File Recovery this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Dfirtransilienceai/communitytools | 563 | — | ~1.5k | Automated safety check: Pass | MIT | |
| TShark Traffic AnalysisAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.8k | Automated safety check: Notes | Custom licence | |
| Forensics OsqueryAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4.9k | Automated safety check: Notes | Custom licence | |
| Ir VelociraptorAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~3.1k | Automated safety check: Pass | Custom licence | |
| Auditing Python Dependenciesjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Notes | MIT |
transilienceai/communitytools
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation.
AgentSecOps/SecOpsAgentKit
Guides authorized packet capture and analysis with TShark, Wireshark's command-line tool, for security investigations, malware detection and forensic examination of network traffic.
AgentSecOps/SecOpsAgentKit
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.
AgentSecOps/SecOpsAgentKit
Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.
jeremylongshore/tons-of-skills-marketplace
Audit a Python project's installed dependencies for known CVEs by wrapping pip-audit (PyPA's official vulnerability auditor) and emitting findings in the canonical penetration-tester schema.
wgpsec/AboutSecurity
日志分析与日志逃逸方法论。理解蓝队如何通过日志追踪攻击行为(SIEM/Event Log/Syslog),以及红队如何规避日志记录或精准清除痕迹。当需要设计无痕操作或分析日志监控覆盖范围时使用
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
mukul975/Anthropic-Cybersecurity-Skills
Maps threat actor behavior and observed indicators to MITRE ATT&CK, builds Navigator coverage heatmaps, finds detection gaps and produces threat intelligence reports.
Works with
Categories
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping. The NTFS Master File Table holds at least one 1024-byte record per file and directory. Deleting a file only clears the record's InUse flag, so the metadata stays until the entry is reused, which is what makes it useful as evidence.
NTFS MFT Deleted File Recovery fits situations like: investigating whether a deleted file once existed on a Windows NTFS volume; building a file-system timeline from MFT entries during an incident; checking a Windows disk image for signs of timestomping.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a claude-code`. Or copy the skill folder (skills/analyzing-mft-for-deleted-file-recovery in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-mft-for-deleted-file-recovery in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a codex`. Or copy the skill folder (skills/analyzing-mft-for-deleted-file-recovery in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-mft-for-deleted-file-recovery in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-mft-for-deleted-file-recovery, .gemini/skills/analyzing-mft-for-deleted-file-recovery, .github/skills/analyzing-mft-for-deleted-file-recovery and .opencode/skills/analyzing-mft-for-deleted-file-recovery in your project.
Going by SKILL.md and its folder, NTFS MFT Deleted File Recovery needs Python for the scripts in its folder. Our summary lists: A forensic disk image (E01, raw/dd, VMDK or VHDX); MFTECmd or analyzeMFT; Python 3.8 or later.
SKILL.md names 3 domains. As links in the text: deaddisk.com, sygnia.co and ericzimmerman.github.io. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
NTFS MFT Deleted File Recovery is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 970 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with NTFS MFT Deleted File Recovery: Dfir (transilienceai/communitytools, 563 stars), TShark Traffic Analysis (AgentSecOps/SecOpsAgentKit, 220 stars), Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars) and Ir Velociraptor (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.